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Adaptive Decoupling Control of the Quadruple-Tank System
Sajjad Pourmohammad,Alireza Yazdizadeh 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
Level control of a quadruple-tank process with severe coupling effect is investigated in this paper. The plant provides a nice benchmark problem that illustrates some of the challenges posed by complex interconnected systems to linear design paradigms. The system has some special features like nonlinear dynamics, multi-input multi-output nature, and an adjustable zero location that makes it ideal for illustrating many concepts in multivariable control systems. Most of the recently proposed control methods suffer from a nice decoupling control scheme. Among these control schemes, model predictive control is superior in coping with the coupling effect however it can only decouple the system if an accurate model of the system is used in the control design stage. In this paper an adaptive nonlinear feedback linearization scheme is proposed that can completely decouple and linearize the system in all working points even in the presence of a model-mismatch. A comparison between the proposed controller, conventional PID control and the constrained model predictive control scheme is also given by some simulation results.
Hesam Komari Alaei,Alireza Yazdizadeh 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.3
This paper deals with a robust sliding mode descriptor observer for estimation of states and reconstruction of actuator and sensor faults simultaneously in the presence of uncertainties, measurement noise and output disturbances. In the proposed method, the well-known H∞ concepts are used for minimizing the effects of the uncertainty in the estimation of the states and reconstruction of the faults by using the Linear Matrix Inequalities (LMIs). By considering the sensor fault and output disturbance as auxiliary state vectors, an augmented system is established. As a case study, an industrial boiler is considered and the proposed robust observer illustrates the robust performance on estimation of its states and reconstruction of its faults in the presence of uncertainties.